Senior Data Scientist
Seattle, WA 98101
Location: Seattle, WA
Salary: $160,000 - 180,000
Contact: Paul Chatlos, [email protected]
Are you a curious and passionate about data and how it can be used to solve real world customer problems and drive value? If you're looking to join a team that is at the forefront of data science and analytics, our group is laser-focused in nailing the numbers game with access to the best in class techniques and technology. We are looking for extraordinary talent who bring technical expertise, act as business owners, can execute on complex projects and deliver results
Senior Data Scientist What you'll do:
-Drive customer insights to action as part of a core cross functional team that includes marketing, product and technology
-Develop techniques to build segments/audiences which can be used for targeting and improved customer profitability
-Build, assess, and iteratively improve predictive models using best-in-class machine learning methods and best practices within customer lifetime value (CLV) predictions, purchase propensity, traveler preferences and across a variety of other business problems
-Become the trusted authority on measurement and identification of customer long-term profitability as well as its key drivers
-Develop a deep understanding of our data infrastructure. Applying that knowledge not only to implement your solutions, but also to champion infrastructure development needs which will help the whole team deliver frictionless, action-orientated customer insight.
-Be a technical leader on use, adoption and implementation of machine learning and modelling techniques
-Provide mentorship, peer review, and thought leadership across the business in the areas of statistical methods, experimentation, and tools
Senior Data Scientist Who you are:
-Hands on experience in machine learning, building datasets, selecting and engineering features, building and optimizing algorithms. Experience with packages such as R, Python, etc.
-Strong SQL/data manipulation skills required including cleaning and managing data.
-Ability to apply a wide variety of statistical methods and data science models to effectively solve business problems
-Advanced Degree (PhD and/or Master's) in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, Machine Learning / AI
-Knowledge of test design, implementation and evaluation of A/B Testing
-Real world experience with Internet scale data on a Hadoop or similar platform highly preferred.
-Experience with data visualization tools and packages a plus.
-Willingness to work with unstructured, messy data.
-Self-starter and results orientated, able to work under minimal guidance.
-Intellectual curiosity and desire to learn new things, techniques and technologies